Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.

See how we created a form of invisible surveillance, who gets left out at the gate, and how we’re inadvertently teaching the machine to see, think like us.

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

Everything changes with time. Some changes happen so rapidly — like 7 frames or more per second — that we perceive them as ...

No code, no problem ...

Hyperscale Data, Inc. (NYSE American: GPUS), an artificial intelligence ("AI") data center company anchored by ...

To move its own pieces, a motorized mechanism beneath the board guides an electromagnet along the underside. When activated, ...

Codex can exploit vulnerable crypto smart contracts 72% of the time, raising urgent questions about AI-powered cyber offense and defense.

The ActiveState catalog grew to 40 million components in mid 2025 when it introduced coverage for Java and R in addition to Python, Perl, Ruby, and Tcl. As of January 2026, the company has expanded ...

Claude Sonnet 4.6 beats Opus in agentic tasks, adds 1 million context, and excels in finance and automation, all at one-fifth ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new ...

Spectacles included live coding app creation on stage, and AI-driven image generation in response to the live movement of dance ...